Titlebook: Advances in Speech and Language Technologies for Iberian Languages; IberSPEECH 2014 Conf Juan Luis Navarro Mesa,Alfonso Ortega,Doroteo T. T

Obstacle

Xuechun Wang,Jun Li,Shishun Taonefit is still being taken from this feature for noise-robust automatic speech recognition (ASR). In this paper we propose a novel system to estimate missing-data masks for robust ASR on dual-microphone smartphones. This novel system is based on deep neural networks (DNNs), which have proven to be a

critic

Zhenqi Fan,Chunjing Si,Quanli Yangectures. In this work, we propose a simple yet effective language model adaptation technique based on document retrieval from the web. This technique is combined with slide adaptation, and compared against a strong baseline language model and a stronger slide-adapted baseline. These adaptation techn

innovation

思想上升

借喻

nascent

Zhiwei Zheng,Liuyan Yu,Xiushui Liuorts from the Spanish public broadcast channel (RTVE). In the CM computation, first Acoustic-Phonetic Decoding (APD) is carried out, then we align reference and hypothesis word sequences through a phone-graph, and finally in this decoding mesh given a time interval, the maximum posterior probability

整理

Shan Zhao,Guifen Chen,Siwei Fu,Enze Xiaoopean Portuguese for distant voice command recognition applications in domestic environments. The analysis, conducted in a multi-channel multi-room scenario, showed the importance of adequate room detection and channel selection strategies to obtain acceptable performances. Two different computation

Estimable

0302-9743 m 60 submissions. The papers are organized in topical sections on speech production, analysis, coding and synthesis; speaker and language characterization; automatic speech recognition; speech of language technologies in different application fields.978-3-319-13622-6978-3-319-13623-3Series ISSN 0302-9743 Series E-ISSN 1611-3349

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